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Minder CLI is the command-line interface for the Minder self-hosted MCP platform.

Project description

Minder

PyPI version License

Minder is a self-hosted MCP (Model Context Protocol) platform for repository-aware engineering intelligence.

It combines a local-first inference stack, a persistent memory and workflow engine, and a developer-facing CLI into a single deployable unit.

What's in this repo

Component Description
Minder Server MCP gateway — SSE + stdio transport, RAG pipeline, workflow engine, memory, admin HTTP
Minder CLI (minder-cli on PyPI) Edge CLI — IDE scaffold, repo sync, login, self-update
Minder Dashboard Astro admin console — client management, onboarding, skill catalog

Architecture

Developer → minder-cli → Minder Server ←→ AI agents (Codex / Copilot / Claude)
                              │
               ┌──────────────┼──────────────┐
               │              │              │
           MongoDB          Redis         Milvus
         (graph/memory)   (cache)      (vector search)
               │
          ┌─────┴──────┐
          │            │
       LiteRT-LM    FastEmbed
       (LLM gen)   (embedding)
  • LLM inference: LiteRT-LM (Google AI Edge) — on-device, hardware-accelerated, no HTTP overhead
  • Embedding inference: FastEmbed running natively in-process (mxbai-embed-large-v1) — zero-dependency ONNX acceleration

Quick Start

Run the server

# 1. Download the LiteRT-LM model
./scripts/download_models.sh

# 2. Start infra (MongoDB + Redis + Milvus)
docker compose -f docker/docker-compose.local.yml up -d

# 3. Run Minder Server
uv run python -m minder.server

Or use the one-command release installer (Docker only, no local uv needed):

curl -fsSL https://raw.githubusercontent.com/hiimtrung/minder/main/scripts/release/install-minder-release.sh | bash

Connect the CLI

# Install
uv tool install minder-cli

# Log in with your client key
minder login --client-key mkc_your_key --server-url http://localhost:8800/sse

# Set up IDE integration (VS Code, Cursor, Claude Code)
minder install-ide --target vscode --target claude-code

# Sync a repository
minder sync --repo-id <uuid>

MCP Tools

When connected, Minder exposes these tools to your AI agents:

Tool Description
minder_query Full RAG pipeline: retrieve → reason → verify → respond
minder_search_code Semantic code search across indexed repos
minder_memory_recall Retrieve persisted engineering memory
minder_workflow_get Read current workflow state
minder_session_restore Restore session continuity across context windows

Documentation

License

Apache License 2.0. See LICENSE for details.

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